Abstract CT206: A phase I study of binimetinib, a MEK inhibitor, in combination with pembrolizumab in patients with advanced non-small cell lung cancer (NSCLC)
Bibliographic record
Abstract
Abstract Introduction: MEK inhibition combined with PD-1 axis inhibition may achieve a greater clinical response than either inhibitor alone due to increased T-cell infiltration of tumours. We combined binimetinib with pembrolizumab in patients with stage IV advanced non-small cell lung cancer (NSCLC) and PD-L1 tumor proportion score>=50%. Methods: A 3 + 3 dose escalation design was used. Binimetinib at a dose level 1 (DL1; 45 mg) or dose level -1 (DL-1; 30 mg) twice daily orally continuously was given with pembrolizumab 200 mg IV q 21 days. The primary objective was to define the recommended phase II dose (RP2D) of the combination. Secondary outcomes included safety of the combination and response (RECIST 1.1) with a planned Phase Ib expansion in patients with RAS/RAF/MEK dysregulated tumours via next generation gene sequencing. Genomic markers are being explored in tissue and plasma. Results: Eleven patients (3 DL1, 8 DL-1) were enrolled with the following mutations: 7 with KRAS (3 G12C, 2 G12D, 1 G12V, 1 G12A), 2 BRAF (1 G409A, 1 V600E) and 1 STK11 which acts as a tumor suppressor gene encoding for LKB1. Two of 3 patients at DL1 experienced dose limiting toxicity (DLT) including grade 3 elevated amylase, grade 3 diarrhea, grade 4 elevated lipase and severe grade 2 rash requiring dose reduction. Of 8 patients treated at DL-1, 1 progressed in cycle 1, another was noncompliant with treatment. Of the remaining 6 patients, 1 experienced DLT with grade 3 rash with inability to administer binimetinib for >75% of cycle 1. The most common toxicities across all cycles (n=11 patients) were: rash (82%), diarrhea (36%) and pruritis (36%). Nine patients were evaluated for response with partial response in 3 (33%), stable disease in 4 (44%) and progressive disease in 2 (22%). All 3 responding patients had RAS or RAF alterations (KRASG12C, KRASG12V, BRAFV600E) while the patient with STK11 mutant disease had early disease progression. Conclusion: The RP2D of the combination in patients with advanced NSCLC is binimetinib 30 mg BID plus pembrolizumab 200 mg IV q21 days. Updated data from cohort expansion including response and molecular correlates of treatment response and resistance will be presented. Citation Format: Christopher F. Theriau, Jamie Feng, Lawson Eng, Frances A. Shepherd, Mary DeCarolis, Vivian Glenns, Swati Kulkarni, Rachel VanderMeer, Urszula Zurawska-Fortin, Desiree Hao, Lisa Le, Isabel Wozniczka, Aida Al-Kindy, Danny Xie, Tong Zhang, Vasanth Subramanian, Tracy Stockley, Penelope A. Bradbury, Geoffrey Liu, Natasha B. Leighl. A phase I study of binimetinib, a MEK inhibitor, in combination with pembrolizumab in patients with advanced non-small cell lung cancer (NSCLC) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 2 (Clinical Trials and Late-Breaking Research); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(8_Suppl):Abstract nr CT206.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".